Contextual Safety Assessment, Recommendations, Provisioning and Monitoring

2. The method of claim 1, wherein at least one of the one or more warnings has an associated probability of injury.

3. The method of claim 1, further comprising capturing the one or more images and/or video based on a view of the accessible environment from a specified height from a ground level.

4. The method of claim 3, further comprising positioning a camera at the specified height using a depth sensor of the camera that measures a current height of the camera from the ground level.

5. The method of claim 1, further comprising capturing an inventory of the objects in the accessible environment by guiding a user through taking pictures of the accessible environment.

6. The method of claim 1, further comprising generating one or more additional training images using a generative adversarial network (GAN) or an autoencoder.

8. The method of claim 7, further comprising performing natural language processing to extract captions, objects, and relative parameter associations to generate training text, and wherein the generation of the risk/danger prediction model is based on the training text.

11. The method of claim 1, further comprising issuing a notification and an alert to a user regarding the high-danger zone.

13. The method of claim 12, further comprising detecting an anomaly which could trigger an adverse response in the individual.

16. The apparatus of claim 15, the operations further comprising capturing the one or more images and/or video based on a view of the accessible environment from a perspective of a specified individual.

17. The apparatus of claim 15, the operations further comprising recommending a height to position a camera and using a depth sensor to measure a height of the camera from ground level.